Vegetation coverage measuring device based on multispectral image

Abstract

The utility model relates to the field of vegetation ecological construction, in particular to a vegetation coverage measuring device based on multispectral images, which comprises an unmanned aerial vehicle body, an unmanned aerial vehicle working motor is arranged on the top surface of the unmanned aerial vehicle body, and standing supporting rods are arranged on two sides of the bottom surface of the unmanned aerial vehicle body. Four wing take-off connecting rods are arranged on the side wall of the unmanned aerial vehicle body, wing rotating shaft blocks are arranged on the top surfaces of the four wing take-off connecting rods, rotating wings are arranged on the bottom surfaces of the four wing take-off connecting rods, a first supporting rod is arranged on the top surface of an unmanned aerial vehicle working motor, and monitoring equipment is arranged on the top surface of the first supporting rod; a multispectral image monitoring device is arranged in the middle of the bottom face of the unmanned aerial vehicle body.

Description

Technical Field

[0001] The utility model relates to the field of vegetation ecological construction, and particularly relates to a vegetation coverage measurement device based on multi-spectral images. Background Technique

[0002] Vegetation is the natural link connecting soil, atmosphere and water, and affects the energy balance and biochemical cycle of the land surface. Vegetation coverage usually refers to the percentage of the vertical projection area of vegetation (leaves, stems, branches) on the ground in the total area of the statistical area. It is a direct quantitative index reflecting the growth status of vegetation, a necessary input parameter for models such as hydrological, climate, ecological and carbon process assessments, and can also be used to reveal ecological problems such as land degradation and soil erosion and their comprehensive treatment status. Therefore, quickly, effectively and accurately estimating the vegetation coverage of a region is of great significance for improving the regional ecological environment and promoting the sustainable development of resources.

[0003] At present, the methods for estimating vegetation coverage are mainly divided into two types: one is the traditional ground measurement method, and the other is the remote sensing estimation method. Although the traditional ground measurement method has high measurement accuracy, it is time-consuming, laborious, has a small investigation range, lacks timeliness, and is not suitable for large-scale regional research. The remote sensing estimation methods mainly include empirical model method, sub-pixel decomposition method, physical model method, spectral gradient method, etc. Among them, the pixel decomposition method is the most widely used in research due to its simple and reliable model, and the pixel dichotomy model is the most common and simple one in the pixel decomposition method. However, the complexity of the ground surface makes it difficult to determine the NDVI values of pure vegetation and pure bare soil.

[0004] Therefore, there is a wide market prospect for producing a vegetation coverage measurement device based on multi-spectral images that can maximize the excavation and utilization of remote sensing image information, improve the accuracy of existing vegetation coverage calculations, has a simple operation process, less manual intervention, and is easy to promote and apply on a large scale. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the utility model provides a vegetation coverage measurement device based on multi-spectral images that can maximize the excavation and utilization of remote sensing image information, improve the accuracy of existing vegetation coverage calculations, has a simple operation process, less manual intervention, and is easy to promote and apply on a large scale, so as to overcome the defects in the prior art.

[0006] The technical solution adopted by the utility model is as follows: A vegetation coverage measurement device based on multi-spectral images, including a UAV body. There is a UAV working motor on the top surface of the UAV body. There are standing support rods on both sides of the bottom surface of the UAV body. There are four wing take-off connecting rods on the side wall of the UAV body. There are wing rotation shaft blocks on the top surfaces of the four wing take-off connecting rods. There are rotating wings on the bottom surfaces of the four wing take-off connecting rods. There is a first support rod on the top surface of the UAV working motor. There is a monitoring device on the top surface of the first support rod. There is a multi-spectral image monitoring device in the middle of the bottom surface of the UAV body.

[0007] The multi-spectral image monitoring device includes a second support rod and a third support rod. There is an image transmitter on the bottom surface of the second support rod. There is a transmission radar signal line on the top surface of the image transmitter. There is a multi-spectral image camera on the bottom surface of the third support rod. The top surfaces of the second support rod and the third support rod are movably connected to the bottom surface of the UAV body.

[0008] There is a second connection block on the outer side of the bottom end of the second support rod. The image transmitter is movably sleeved inside the bottom end of the second support rod through the second connection block. There is a third connection block on the outer side of the bottom end of the third support rod. The multi-spectral image camera is movably sleeved inside the bottom end of the third support rod through the third connection block.

[0009] The structures and sizes of the second support rod and the third support rod are the same. The heights of the second support rod and the third support rod are not greater than the height of the standing support rod.

[0010] There is a transmission wire between the multi-spectral image camera and the image transmitter. The multi-spectral image camera is electrically connected to the image transmitter through this transmission wire. The image transmitter is electrically connected to the transmission radar signal line.

[0011] There is a first connection block on the outer side of the top end of the first support rod. The monitoring device is movably sleeved inside the top end of the first support rod through the first connection block.

[0012] The four wing take-off connecting rods are arranged on the top surface of the UAV body between the UAV body and the UAV working motor. The included angle between the adjacent wing take-off connecting rod and the center point of the top surface of the UAV body is 90 degrees.

[0013] The beneficial effects of the present utility model are as follows: First, through the multi-spectral image camera provided in the present utility model, it can quickly preprocess the multi-spectral data and panchromatic data of the high-spatial-resolution original remote sensing images during the vegetation growth season, respectively generate a multi-spectral remote sensing image result map representing the true reflectance of the ground objects and a panchromatic remote sensing image result map representing the true radiance value of the ground objects, be able to geometrically register the multi-spectral remote sensing image result map and the panchromatic remote sensing image result map to obtain a high-spatial-resolution multi-spectral remote sensing image result map and a high-spatial-resolution panchromatic remote sensing image result map that match in geographical space coordinates, and then transmit them back to the terminal through the image transmitter and the transmission radar signal line. By using the high-altitude flight ability of the unmanned aerial vehicle, its viewing angle is enlarged, achieving the advantages of improving the accuracy of the existing vegetation coverage calculation, simple operation process, and less manual intervention. At the same time, the unmanned aerial vehicle is also a common high-altitude operation machine in the market, and it is also easy to be popularized and applied on a large scale. Second, through the third support rod and the third connection screw block provided in the present utility model, the multi-spectral image camera can be photographed at multiple angles, which is convenient for accurately measuring the accuracy of the vegetation coverage. Third, through the monitoring device provided in the present utility model, it is convenient to monitor the surrounding environment in real time. It has a simple structure, convenient operation, and ingenious design, and is a product that is easy to be popularized and used. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the overall three-dimensional structure of the present utility model.

[0015] Figure 2 is Figure 1 An enlarged schematic diagram of point A in

[0016] Figure 3 It is a schematic diagram of the overall front structure of the present utility model.

[0017] Figure 4 It is a schematic diagram of the overall side structure of the present utility model.

[0018] In the figure: 1 - unmanned aerial vehicle body; 2 - unmanned aerial vehicle working motor; 3 - wing take-off connecting rod; 4 - wing rotating shaft block; 5 - rotating wing; 6 - standing support rod; 7 - first support rod; 8 - monitoring device; 9 - first connection screw block; 10 - second support rod; 11 - second connection screw block; 12 - image transmitter; 13 - transmission radar signal line; 14 - third support rod; 15 - third connection screw block; 16 - multi-spectral image camera. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In the description of the present application, it should be understood that the orientation or positional relationship indicated by terms such as "upper", "lower", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present application. The "first", "second", "third", etc. involved in the present application are used to distinguish the described objects and do not have any sequential or technical meaning. The "connection" involved in the present application, unless otherwise specified, includes direct and indirect connections.

[0020] Such as Figure 1 , 2As shown in Figures 3 and 4, a vegetation coverage measurement device based on multispectral images includes a UAV body 1. A UAV working motor 2 is provided on the top surface of the UAV body 1. Standing support rods 6 are provided on both sides of the bottom surface of the UAV body 1. Four wing take-off connecting rods 3 are provided on the side wall of the UAV body 1. Wing rotation shaft blocks are provided on the top surfaces of the four wing take-off connecting rods 3, and rotating wings 5 are provided on the bottom surfaces of the four wing take-off connecting rods 3. A first support rod 7 is provided on the top surface of the UAV working motor 2, and a monitoring device 8 is provided on the top surface of the first support rod 7. A multispectral image monitoring device is provided in the middle of the bottom surface of the UAV body 1; The multispectral image monitoring device includes a second support rod 10 and a third support rod 14. An image transmitter 12 is provided on the bottom surface of the second support rod 10, and a transmission radar signal line 13 is provided on the top surface of the image transmitter 12. A multispectral image camera 16 is provided on the bottom surface of the third support rod 14. The top surfaces of the second support rod 10 and the third support rod 14 are movably connected to the bottom surface of the UAV body 1; A second connection block 11 is provided on the outer side of the bottom end of the second support rod 10, and the image transmitter 12 is movably sleeved inside the bottom end of the second support rod 10 through the second connection block 11. A third connection block 15 is provided on the outer side of the bottom end of the third support rod 14, and the multispectral image camera 16 is movably sleeved inside the bottom end of the third support rod 14 through the third connection block 15; The structures and sizes of the second support rod 10 and the third support rod 14 are the same, and the heights of the second support rod 10 and the third support rod 14 are not greater than the height of the standing support rod 6; A transmission wire is provided between the multispectral image camera 16 and the image transmitter 12, and the multispectral image camera 16 is electrically connected to the image transmitter 12 through this transmission wire, and the image transmitter 12 is electrically connected to the transmission radar signal line 13; A first connection block 9 is provided on the outer side of the top end of the first support rod 7, and the monitoring device 8 is movably sleeved inside the top end of the first support rod 7 through the first connection block 9;The four wing take-off connecting rods 3 are arranged on the top surface of the UAV body 1 between the UAV body 1 and the UAV working motor 2. The included angle between the adjacent wing take-off connecting rods 3 and the center point of the top surface of the UAV body 1 is 90 degrees. By means of the multi-spectral image camera 16 provided, it can quickly preprocess the multi-spectral data and panchromatic data of the high-spatial-resolution original remote sensing images in the vegetation growth season, respectively generate a multi-spectral remote sensing image result map representing the true reflectivity of the ground objects and a panchromatic remote sensing image result map representing the true radiance value of the ground objects, can geometrically register the multi-spectral remote sensing image result map and the panchromatic remote sensing image result map, obtain a high-spatial-resolution multi-spectral remote sensing image result map and a high-spatial-resolution panchromatic remote sensing image result map that are matched in geographical space coordinates, and then transmit them back to the terminal through the image transmitter 12 and the transmission radar signal line 13. By using the high-altitude flight ability of the UAV, its viewing angle is enlarged, achieving the advantages of improving the accuracy of the existing vegetation coverage calculation, simple operation process and less manual intervention. At the same time, the UAV is also a common high-altitude operation machine in the market, and it is also easy to be popularized and applied on a large scale. By means of the third support rod 14 and the third connecting screw block 15 provided, the multi-spectral image camera 16 can be made to take pictures at multiple angles, which is convenient for accurately measuring the accuracy of the vegetation coverage. By means of the monitoring device 8 provided, it is convenient to monitor the surrounding environment in real time.;

[0021] The usage method of this product is as follows: As Figure 1 、 2 、shown in Figures 3 and 4, by means of the multi-spectral image camera 16 provided, it can quickly preprocess the multi-spectral data and panchromatic data of the high-spatial-resolution original remote sensing images in the vegetation growth season, respectively generate a multi-spectral remote sensing image result map representing the true reflectivity of the ground objects and a panchromatic remote sensing image result map representing the true radiance value of the ground objects, can geometrically register the multi-spectral remote sensing image result map and the panchromatic remote sensing image result map, obtain a high-spatial-resolution multi-spectral remote sensing image result map and a high-spatial-resolution panchromatic remote sensing image result map that are matched in geographical space coordinates, and then transmit them back to the terminal through the image transmitter 12 and the transmission radar signal line 13. By using the high-altitude flight ability of the UAV, its viewing angle is enlarged, achieving the advantages of improving the accuracy of the existing vegetation coverage calculation, simple operation process and less manual intervention. At the same time, the UAV is also a common high-altitude operation machine in the market, and it is also easy to be popularized and applied on a large scale. By means of the third support rod 14 and the third connecting screw block 15 provided, the multi-spectral image camera 16 can be made to take pictures at multiple angles, which is convenient for accurately measuring the accuracy of the vegetation coverage. By means of the monitoring device 8 provided, it is convenient to monitor the surrounding environment in real time.

[0022] The utility model is a vegetation coverage measurement device based on multispectral images, which maximally excavates and utilizes remote sensing image information, improves the accuracy of existing vegetation coverage calculation, has a simple operation process, less manual intervention, and is easy to be popularized and applied on a large scale, making the utility model have a broad market prospect.

Claims

1. A vegetation coverage measurement device based on multispectral imaging, comprising an unmanned aerial vehicle (UAV) body (1), a UAV working motor (2) being arranged on the top surface of the UAV body (1), standing support rods (6) being arranged on both sides of the bottom surface of the UAV body (1), four wing take-off connecting rods (3) being arranged on the side wall of the UAV body (1), wing rotating shaft blocks being arranged on the top surfaces of the four wing take-off connecting rods (3), and rotating wings (5) being arranged on the bottom surfaces of the four wing take-off connecting rods (3), characterized in that: A first support rod (7) is provided on the top surface of the drone working motor (2), a monitoring device (8) is provided on the top surface of the first support rod (7), and a multi-spectral imaging monitoring device is provided in the middle of the bottom surface of the drone body (1).

2. The vegetation coverage measurement device based on multispectral imaging according to claim 1, characterized in that: The multispectral image monitoring device comprises a second support rod (10) and a third support rod (14); an image transmitter (12) is provided on the bottom surface of the second support rod (10); a transmission radar signal line (13) is provided on the top surface of the image transmitter (12); a multispectral image camera (16) is provided on the bottom surface of the third support rod (14); and the top surfaces of the second support rod (10) and the third support rod (14) are both movably connected to the bottom surface of the drone body (1).

3. The vegetation coverage measurement device based on multispectral imaging according to claim 2 is characterized in that: A second connecting screw (11) is provided on the outer side of the bottom end of the second support rod (10), and the image transmitter (12) is movably mounted inside the bottom end of the second support rod (10) via the second connecting screw (11). A third connecting screw (15) is provided on the outer side of the bottom end of the third support rod (14), and the multispectral imaging camera (16) is movably mounted inside the bottom end of the third support rod (14) via the third connecting screw (15).

4. The vegetation coverage measurement device based on multispectral imaging according to claim 2 is characterized in that: The second support rod (10) and the third support rod (14) have the same structural size, and the height of the second support rod (10) and the third support rod (14) are not greater than the height of the standing support rod (6).

5. The vegetation coverage measurement device based on multispectral imaging according to claim 2 is characterized in that: A transmission wire is provided between the multispectral image camera (16) and the image transmitter (12); the multispectral image camera (16) is electrically connected to the image transmitter (12) via the transmission wire, and the image transmitter (12) is electrically connected to the transmission radar signal line (13).

6. The vegetation coverage measurement device based on multispectral imaging according to claim 1, characterized in that: A first connecting screw block (9) is provided on the outer side of the top end of the first support rod (7), and the monitoring device (8) is movably sleeved inside the top end of the first support rod (7) via the first connecting screw block (9).

7. The vegetation coverage measurement device based on multispectral imaging according to claim 1, characterized in that: The four wing take-off connecting rods (3) are arranged on the top surface of the drone body (1) between the drone body (1) and the drone working motor (2), and the angle between adjacent wing take-off connecting rods (3) and the center point of the top surface of the drone body (1) is 90 degrees.

Images